GenAI / Agentic AI Engineer

Responsibilities

Key Responsibilities

• Develop GenAI features and workflows using Python and AWS Bedrock
• Implement RAG pipelines (chunking, embeddings, retrieval, grounding)
• Build single/multi-step agent workflows using LangChain / LangGraph
• Integrate LLMs with APIs, tools, and enterprise applications
• Write tested, maintainable Python code with CI/CD pipelines
• Monitor basic latency, token usage, and cost metrics
• Collaborate with architects, seniors, and QA teams

Technical and Professional Requirements

Must Have Skills

Python – Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic async

AWS Bedrock – Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails & access controls

Generative AI – Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Simple agent flows and routing

DevOps Basics – Git, PRs, CI pipelines, Docker basics, artifacts

________________________________________

Preferred Skills

• Generative AI – Basic
• PYTHON

Educational Requirements

Bachelor of Engineering